lingyi xu | Algorithm Development | Best Researcher Award

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Dr. lingyi xu | Algorithm Development | Best Researcher Award

China Mobile (Hangzhou) Information Technology Co., Ltd. | China

PUBLICATION PROFILE

Orcid

🎓 EARLY ACADEMIC PURSUITS

Dr. Xu Lingyi began his academic journey in 2014 at the Beijing University of Posts and Telecommunications (BUPT), a prestigious institution known for its strong emphasis on telecommunication and electronic science. He completed his Bachelor’s degree in Electronic Science and Technology in 2018, followed by a Master’s degree in 2019, and ultimately earned his Doctorate in 2023. His consistent academic progress at the same institution demonstrates his deep-rooted commitment to advancing knowledge in the field. During this time, he laid a strong foundation in network architecture, digital systems, and telecommunications engineering, preparing him for more specialized research in later years.

💼 PROFESSIONAL ENDEAVORS

Dr. Xu transitioned into industry shortly after completing his Ph.D. in June 2023, taking on the role of System Architect at China Mobile (Hangzhou) Information Technology Co., Ltd. This move underscores his ability to apply academic knowledge to real-world technological challenges, especially in the domain of large-scale mobile networks and next-generation communication technologies. His dual exposure to academic research and practical industry experience positions him as a versatile expert in electronic science and networking technologies.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Throughout his doctoral studies, Dr. Xu focused on critical areas such as Network Function Virtualization (NFV), Service Function Chain (SFC) Orchestration, and the Internet of Things (IoT). These areas are central to the development of agile, scalable, and intelligent network systems, which are essential in today’s cloud-native and edge-driven computing environments. His research offers innovative solutions to problems like dynamic service migration, optimal resource allocation, and collision avoidance in IoT communications.

🧠 IMPACT AND INFLUENCE

Dr. Xu’s scientific contributions reflect both depth and innovation. His paper titled “Mobile-Aware Service Function Chain Intelligent Seamless Migration in Multi-access Edge Computing”, published in the Journal of Network and Systems Management (SCI), presents a pioneering approach to seamless SFC migration in edge computing scenarios—crucial for the future of mobile network flexibility. His platform SFCSim, featured in CLUSTER COMPUTING (SCI), provides a robust simulation environment for NFV resource allocation, which is a valuable tool for both researchers and network engineers.

His heuristic SFC deployment strategy, published in ELECTRONICS (SCI), applies continuous digital coding techniques, representing a novel optimization approach for service chaining. Additionally, his earlier work on anti-collision broadcasting using iBeacon technology, published in Journal of Beijing University of Posts and Telecommunications (EI), marks his foray into IoT-specific challenges, showcasing his early engagement with real-world wireless communication issues.

📚 ACADEMIC CITES

While citation data evolves with time, Dr. Xu’s SCI-indexed publications have already begun to garner attention within the research community. His interdisciplinary work across NFV, edge computing, and IoT positions his contributions to be cited across multiple domains, including distributed systems, telecommunications, and smart infrastructure.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, Dr. Xu Lingyi is poised to leave a lasting impact on both academia and industry. With a solid foundation in NFV and SFC orchestration, coupled with his industry engagement as a system architect, he is well-positioned to influence the evolution of 5G/6G network design, autonomous service deployment, and intelligent edge infrastructures. His research and simulation tools can significantly aid the development of AI-driven network management systems, especially in smart cities and industrial IoT contexts. As he continues to publish and innovate, his work is expected to shape the next generation of dynamic and efficient network systems.

 📚 TOP NOTES PUBLICATIONS

Heuristic Strategy of Service Function Chain Deployment Based on N-Base Continuous Digital Coding in Network Function Virtualization Environment

  • Authors: Lingyi Xu; Hefei Hu; Yuanan Liu

  • Journal: Electronics

  • Year: 2022

Path Load Adaptive Migration for Routing and Bandwidth Allocation in Mobile-Aware Service Function Chain

  • Authors: Hefei Hu; Chen Yang; Lingyi Xu; Tangyijia Song; Bonaho Bocochi Dalia

  • Journal: Electronics

  • Year: 2021

Lin Shi | Data collection | Best Researcher Award

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Dr. Lin Shi | Data collection | Best Researcher Award

Beijing Tiantan Hospital | China

PUBLICATION PROFILE

Orcid

Scopus

🎓 EARLY ACADEMIC PURSUITS

Dr. Lin Shi began her medical education at Harbin Medical University, where she earned both her M.D. and M.M. in Clinical Medicine between 2002 and 2009 under the mentorship of Professor Yunfu Cui. Building on this strong foundation, she pursued a Ph.D. in Neurosurgery at Capital Medical University from 2012 to 2015, under the guidance of Professor Zhongcheng Wang. Her academic background laid the groundwork for a career that would bridge clinical excellence with cutting-edge research in functional neurosurgery.

🩺 PROFESSIONAL ENDEAVORS

Dr. Shi’s clinical and academic career spans over 15 years, with progressive roles in major medical institutions. She started as a neurosurgeon at Beijing Haidian Hospital and soon joined Beijing Tiantan Hospital in 2015, where she advanced from neurosurgeon to attending neurosurgeon and eventually to associate senior neurosurgeon and associate professor by 2019. She also broadened her expertise during a visiting scholar appointment at Stanford University’s Center for Neurological Disorders. Throughout her career, she has taken leadership roles in numerous research projects funded by the National Natural Science Foundation of China and the Beijing Municipal Government, while also serving as an expert reviewer and editorial board member in both national and international scientific communities.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Shi has made significant contributions in the field of functional brain disorders, which include conditions such as Parkinson’s disease, epilepsy, dystonia, and other rare neurological disorders. Since 2012, she has worked at the forefront of functional neurosurgery, especially in the areas of deep brain stimulation (DBS) and vagus nerve stimulation. Her research has focused on creating a comprehensive neuromodulation therapy system, including the development of a large-scale clinical database of over 5,000 cases, enabling better analysis and understanding of various brain disorders. She has also led mechanism-based studies on epilepsy, exploring inflammation, neurodegeneration, and neural circuitry using advanced animal models and molecular techniques.

🔬 RESEARCH MILESTONES

Dr. Shi’s research includes landmark studies that have advanced our understanding of epilepsy and DBS therapy. She created reliable animal models of temporal lobe epilepsy and demonstrated that anterior thalamic nucleus (ANT) stimulation offers neuroprotective effects by modulating inflammatory responses and promoting autophagy. At Stanford, she explored the functional connectivity of the brain through electrical stimulation, uncovering links between episodic memory and cortical network architecture—research published in Nature Human Behaviour. She also contributed to the expansion of neuromodulation indications by testing new neural targets and stimulation parameters, which provided key insights into delayed therapeutic responses in movement disorders like Parkinson’s disease.

🏅 IMPACT AND INFLUENCE

Dr. Shi’s influence in neurosurgery and neuroscience is widely recognized. She has led or participated in major research projects supported by the Beijing Natural Science Foundation and the NSFC, and has won numerous awards, including the Mao Yisheng Science and Technology Award and Beijing Youth Science and Technology Award. Her contributions to the development of China’s first domestically approved neurosurgical robot greatly enhanced the accuracy of DBS, reducing surgical error margins from 1.7mm to 0.6mm and enabling safer, faster procedures. The robot system she helped design has now been used in thousands of operations across top hospitals in China, generating significant economic and clinical value.

📚 ACADEMIC CITES AND RECOGNITION

Dr. Shi has authored more than 20 peer-reviewed SCI papers, with a cumulative impact factor exceeding 110. Notable publications include a study in JAMA Neurology (IF 18.3) on evolving intracranial lesions and a collaborative paper in Nature Human Behaviour (IF 13.7) that examined the cognitive effects of brain stimulation. Her research has been cited extensively and has received accolades from leading figures in neuroscience, such as Prof. Christof Koch. Additionally, she serves as a reviewer for several SCI journals and is active in multiple academic committees and expert panels in China.

🧬 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Shi aims to continue pushing the boundaries of neuromodulation therapy. She plans to integrate AI and robotics more deeply into neurosurgical practice, expand the use of DBS in psychiatric and rare neurological diseases, and refine patient-specific treatment algorithms using data from her extensive clinical database. Her vision includes bridging translational neuroscience with real-world application through collaboration with biomedical engineers, AI specialists, and international research institutions. With a strong portfolio of patents, publications, and clinical innovations, Dr. Shi is set to leave a lasting legacy in the treatment of functional brain disorders.

🧾 HONORS, PATENTS, AND GRANT HIGHLIGHTS

Dr. Shi holds five national patents, including devices designed for surgical precision and MRI safety. She has led over five major research projects, including the development of an automated navigation system for DBS and studies on novel neurostimulation targets, with total funding exceeding ¥2 million. Her published work spans top-tier journals such as JAMA Neurology, Brain Stimulation, and CNS Neuroscience & Therapeutics. Recognized as a leading voice in functional neurosurgery, she continues to shape the future of neuroscience in China and beyond.

 📚 TOP NOTES PUBLICATIONS

1. Fronto-parieto-subthalamic activity decodes motor status in Parkinson’s disease

  • Authors: Zhang, Q.; Xie, H.; Zhao, B.; Yin, Z.; Liu, Y.; Liu, D.; Bai, Y.; Zhu, G.; Qin, G.; Gan, Y. et al.

  • Journal: CNS Neuroscience and Therapeutics

  • Year: 2023

2. Pallidal activities during sleep and sleep decoding in dystonia, Huntington’s, and Parkinson’s disease

  • Authors: Yin, Z.; Jiang, Y.; Merk, T.; Neumann, W.-J.; Ma, R.; An, Q.; Bai, Y.; Zhao, B.; Xu, Y.; Fan, H. et al.

  • Journal: Neurobiology of Disease

  • Year: 2023

3. Identification of Cuproptosis Clusters and Integrative Analyses in Parkinson’s Disease

  • Authors: Moxuan Zhang; Wenjia Meng; Chong Liu; Huizhi Wang; Renpeng Li; Qiao Wang; Yuan Gao; Siyu Zhou; Tingting Du; Tianshuo Yuan et al.

  • Journal: Brain Sciences

  • Year: 2023

4. Deep Brain Stimulation Electrode Reconstruction: Comparison between Lead-DBS and Surgical Planning System

  • Authors: Yichen Xu; Guofan Qin; Bojing Tan; Shiying Fan; Qi An; Yuan Gao; Houyou Fan; Hutao Xie; Delong Wu; Huanguang Liu et al.

  • Journal: Journal of Clinical Medicine

  • Year: 2023

5. Comparison of dural puncture and dural incision in deep brain stimulation surgery: A simple but worthwhile technique modification

  • Authors: Fan, S.; Zhang, Q.; Meng, F.; Fang, H.; Yang, G.; Shi, Z.; Liu, H.; Zhang, H.; Yang, A.; Zhang, J. et al.

  • Journal: Frontiers in Neuroscience

  • Year: 2022

Mustafa Aydin | Fractional Calculus | Best Researcher Award

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Mr. Mustafa Aydin | Fractional Calculus | Best Researcher Award

Van Yuzuncu Yil Univertsity | Turkey

PUBLICATION PROFILE

Google Scholar

📌 INTRODUCTION

Mr. Mustafa Aydın is a dedicated academician specializing in Mathematics, with research interests that span fractional differential equations, time-delay systems, and functional analysis. He has established a reputable presence in both theoretical mathematics and applied vocational education. Currently serving as a Lecturer and Vice Director at Van Yüzüncü Yıl University, he continues to contribute significantly to research and teaching in higher education.

🎓 EARLY ACADEMIC PURSUITS

His academic journey began with a Bachelor’s degree in Mathematics from Sakarya University, completed in 2011. He pursued his graduate studies at Fatih University, earning a Master’s degree in 2014 with a thesis titled “Compact Operators Between Certain Sequence Spaces” under the supervision of Prof. Dr. Eberhard Malkowsky. This laid the groundwork for his future specialization in functional analysis and operator theory. His passion for advanced mathematics later led him to pursue a PhD in Mathematics at Eastern Mediterranean University, where he completed his dissertation titled “On Langevin Type of Fractional Time – Delay Differential Equations” in 2023, supervised by Prof. Dr. Nazim Mahmudov.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Mr. Aydın has held numerous academic positions across respected institutions. He began his lecturing career at Istanbul Gedik University (2018–2020) and later served as a Research Assistant at Istanbul Technical University (2020–2022). Currently, he is a Lecturer at Van Yüzüncü Yıl University, where he also serves as the Vice Director of Muradiye Vocational School. His instructional expertise spans various levels, including associate and bachelor’s degree programs. He has taught courses in Mathematics, Optician Applications, Computer Technology, and Human Resource Management, making him a multi-disciplinary educator.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Mustafa Aydın’s academic contributions are rooted in the fields of Fractional Calculus, Langevin-type systems, and Time-Delay Differential Equations. His PhD work investigates complex mathematical models involving fractional time-delay, a topic of growing interest in applied sciences and engineering. Additionally, he has explored Compact Operators and Sequence Spaces, reflecting a strong foundation in pure mathematics. He is currently leading a scientific research project titled “Prabhakar Kesirli Gecikmeli Diferansiyel Denklemler” funded by national higher education institutions, which explores advanced differential systems.

🌍 IMPACT AND INFLUENCE

Throughout his academic career, Mr. Aydın has made a significant impact on both students and the academic community. By combining his expertise in mathematics with vocational subjects such as optician applications, he has helped bridge theoretical knowledge with real-world applications. His leadership in curriculum development and administrative roles has enhanced vocational and technical education standards. He has also contributed to academic dialogue by participating in seminars like the “Analysis and Applied Mathematics Seminar Series” in 2014 at Fatih University.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

While detailed publication and citation data were not explicitly listed, his scholarly work includes two major theses and ongoing research projects. His PhD and Master’s theses are significant contributions to operator theory and differential equations. His academic presence would likely be reflected in future journal publications and project reports. A comprehensive review of publication databases such as Google Scholar or Scopus would further showcase his academic footprint.

🏅 HONORS & AWARDS

Mr. Aydın has earned several recognitions, including a Full Scholarship at Istanbul Gedik University and a Pedagogical Formation Certificate from Sakarya University between 2010–2012. He also completed certified training in Human Resources Management, which complements his holistic teaching approach. These honors underline his commitment to lifelong learning and teaching excellence.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

As a rising scholar, Mr. Aydın is poised to leave a lasting legacy in the Turkish academic landscape. His interdisciplinary teaching, administrative leadership, and focused research on fractional dynamics and applied systems continue to shape the future of vocational and theoretical education. His involvement in both education and research ensures a promising path ahead as he mentors the next generation of scientists and mathematicians.

📝 FINAL NOTE

Mr. Mustafa Aydın exemplifies the qualities of a versatile and committed academic. His journey from a mathematics undergraduate to a doctoral researcher and university administrator highlights a career built on discipline, curiosity, and service. With a strong foundation in both theory and application, he is well-positioned to make continued contributions to science, education, and institutional growth.

 📚 TOP NOTES PUBLICATIONS

1. The Sequential Conformable Langevin-Type Differential Equations and Their Applications to the RLC Electric Circuit Problems

  • Authors: Aydin, M.; Mahmudov, N.I.

  • Journal: Journal of Applied Mathematics

  • Year: 2024

2. Some applications of the generalized Laplace transform and the representation of a solution to Sobolev-type evolution equations with the generalized Caputo derivative

  • Authors: Aydin, M.; Mahmudov, N.

  • Journal: Bulletin of the Polish Academy of Sciences: Technical Sciences

  • Year: 2024

3. Langevin delayed equations with Prabhakar derivatives involving two generalized fractional distinct orders

  • Author: Aydin, M.

  • Journal: Turkish Journal of Mathematics

  • Year: 2024

4. Relative controllability of nonlinear delayed multi-agent systems

  • Authors: Aydin, M.; Mahmudov, N.I.

  • Journal: International Journal of Control

  • Year: 2024

5. The -neutral fractional multi-delayed differential equations

  • Authors: Aydin, M.; Mahmudov, N.I.

  • Journal: arXiv preprint

  • Year: 2022

6. A study on linear Prabhakar fractional systems with variable coefficients

  • Authors: Aydin, M.; Mahmudov, N.I.

  • Journal: Qualitative Theory of Dynamical Systems

  • Year: 2024

Ning Xu | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Ning Xu | Artificial Intelligence | Best Researcher Award

Tianjin University | China

PUBLICATION PROFILE

Google Scholar

👨‍🏫 Summary

Assoc. Prof. Dr. Ning Xu is currently serving at the School of Electrical and Information Engineering, Tianjin University, China. He specializes in the fields of computer vision and artificial intelligence, with key research spanning Image Captioning, Text-to-Image Generation, Visual Question Answering, Visual Dialog, Scene Graph Generation, and Causality. His work is widely recognized, having been published in top-tier journals and conferences such as IEEE TIP, TKDE, TNNLS, TCYB, TMM, TCSVT, IJCAI, and ACM MM.

🎓 Education

Dr. Xu earned his Ph.D. in Electrical and Information Engineering from Tianjin University in 2019 under the supervision of Prof. An-An Liu. He completed his Bachelor of Engineering at Hainan University (Advanced Class) in 2013, advised by Prof. Yong Bai.

💼 Professional Experience

From 2016 to 2017, he was a visiting scholar at the SeSaMe Research Centre, National University of Singapore, collaborating with Dr. Yongkang Wong. He now holds the title of Associate Professor at Tianjin University and is an active member of the Institute of Television and Image Information.

📚 Academic Citations

Dr. Xu’s research has led to publications in top academic venues and the granting of two U.S. patents in the area of visual relationship detection, highlighting his contributions to region-aware and adaptive clustering learning methods.

🛠️ Technical Skills

His expertise covers deep learning, computer vision, image understanding, and multi-modal reasoning, with strong implementation experience in frameworks such as PyTorch and TensorFlow.

👨‍🏫 Teaching Experience

At Tianjin University, he actively teaches and mentors both undergraduate and postgraduate students, focusing on AI, image processing, and machine learning courses.

🔍 Research Interests

His research interests include but are not limited to Image Captioning, Text-to-Image Generation, Visual QA, Visual Dialog, Scene Graph Generation, and Causality, with a focus on developing interpretable and intelligent vision-language systems.

📚 Top Notes Publications

1. Adaptively clustering-driven learning for visual relationship detection

  • Authors: Liu, A.A.; Wang, Y.; Xu, N.; Nie, W.; Nie, J.; Zhang, Y.

  • Journal: IEEE Transactions on Multimedia

  • Year: 2020

2. 3D Model classification based on few-shot learning

  • Authors: Nie, J.; Xu, N.; Zhou, M.; Yan, G.; Wei, Z.

  • Journal: Neurocomputing

  • Year: 2020

3. Image Captioning with multi-level similarity-guided semantic matching

  • Authors: Li, J.; Xu, N.; Nie, W.; Zhang, S.

  • Journal: Visual Informatics

  • Year: 2021

4. Part-aware interactive learning for scene graph generation

  • Authors: Tian, H.; Xu, N.; Liu, A.A.; Zhang, Y.

  • Journal: Proceedings of the 28th ACM International Conference on Multimedia

  • Year: 2020

5. Mask and predict: Multi-step reasoning for scene graph generation

  • Authors: Tian, H.; Xu, N.; Liu, A.A.; Yan, C.; Mao, Z.; Zhang, Q.; Zhang, Y.

  • Journal: Proceedings of the 29th ACM International Conference on Multimedia

  • Year: 2021

Min Cao | multimodal learning | Best Researcher Award

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Assoc Prof Dr. Min Cao | multimodal learning | Best Researcher Award

Soochow University | China

Publication Profile

Scopus

👨‍🏫 Professional Summary

Dr. Min Cao is currently an Associate Professor at the School of Computer Science and Technology, Soochow University, where he also serves as Assistant to the Dean at the Artificial Intelligence Research Institute. He is a core contributor in the field of computer vision, particularly in multimodal learning, text-based person retrieval, and person re-identification. With over 22 published papers—including in top-tier journals (SCI Q1) and prestigious conferences such as AAAI, IJCAI, and ICCV—Dr. Cao has established himself as a leading researcher. He is the recipient of multiple research grants and holds 8 authorized invention patents. Actively involved in academic service, he is the Deputy Secretary-General of the Computer Vision Special Committee of the Shanghai Computer Society and an Executive Member of CCF Suzhou.

🎓 Education

Dr. Cao received his Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences (2016–2020), under the supervision of Professor Silong Peng. Prior to that, he completed his bachelor’s degree in Electronic Information Engineering at Tianjin Polytechnic University in 2014.

💼 Professional Experience

He began his academic career as an Assistant Professor at Soochow University from March 2020 to September 2023, before being promoted to Associate Professor in October 2023. In addition, Dr. Cao was a visiting scholar at the Fraunhofer Institute for Image Data Processing in Germany from 2018 to 2019, where he conducted cutting-edge research in image analysis.

🔬 Research Interests

Dr. Cao’s research interests span across multimodal learning, text-based person search, person re-identification, graph neural networks, and cross-modal retrieval systems. His work aims to enhance retrieval performance in low-source and open-world environments.

📚 Academic Contributions

He has published 22 peer-reviewed papers, including in high-impact journals such as IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition, and at top conferences like AAAI, IJCAI, and ACMMM. He has served as the principal investigator on multiple national and provincial-level research projects, including those funded by the National Natural Science Foundation of China. Dr. Cao also holds 8 granted patents related to image-text retrieval, anomaly detection, and multimodal learning systems.

🧑‍🏫 Teaching & Mentorship

Dr. Cao has been recognized for his commitment to teaching and student mentorship, guiding students who have received national graduate scholarships and awards for outstanding theses. In 2023, he was named Outstanding Instructor at the Global Campus Artificial Intelligence Algorithm Elite Competition.

🛠️ Technical Skills

He is proficient in machine learning and deep learning frameworks including PyTorch and TensorFlow, with strong programming skills in Python and C++. His technical toolkit also includes OpenCV, Scikit-learn, LaTeX, and tools for multimodal retrieval and graph-based learning.

🏆 Awards & Honors

His work has earned numerous accolades, including First Prize in the 2024 Suzhou Computer Society Outstanding Paper Award, Second Prize in the 2022–2023 Suzhou Natural Science Academic Paper Award, and recognition for excellence in student supervision and AI competition mentoring.

📚 Top Notes Publications

1. Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening

  • Authors: Xu, Yingjia; Wu, Mengxia; Guo, Zixin; Ye, Mang; Laaksonen, Jorma T.

  • Journal: Visual Intelligence

  • Year: 2025

2. Diversified Data Expansion Method Using Text-Based Person Image Search

  • Authors: Wang, Jingyao; Cao, Min

  • Journal: Jisuanji Gongcheng / Computer Engineering

  • Year: 2024

Parijata Majumdar | Metaheuristics | Best Researcher Award

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Dr. Parijata Majumdar | Metaheuristics | Best Researcher Award

Assistant Professor at Indian Institute of Information Technology Agartala, India📖

Dr. Parijata Majumdar is an accomplished academic and researcher with expertise in Artificial Intelligence, Machine Learning, IoT, Precision Agriculture, and Blockchain Technology. She holds a Ph.D. in Computer Science and Engineering from NIT Agartala (2023), where she developed AI approaches for precision agriculture. Currently, she serves as an Assistant Professor at the Indian Institute of Information Technology, Agartala, and an Associate Professor at Techno College of Engineering Agartala. Her work includes a postdoctoral collaboration on metaheuristic algorithms with Prof. Diego Alberto Oliva Navarro, University of Guadalajara, Mexico. Dr. Majumdar has received numerous accolades, including the EARG Award 2024 for Excellence in Research and Development, and has published significant contributions in journals indexed by Scopus and ISI Thomson Reuters.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

🎓 EDUCATION & EXPERIENCE

Dr. Parijata Majumdar is a distinguished academic and researcher in the field of Computer Science and Engineering. Her educational journey reflects a consistent record of excellence, beginning with her Madhyamik from the Tripura Board of Secondary Education in 2010, followed by a Diploma in Computer Science in Technology in 2013. She earned her B.E. in Computer Science and Engineering in 2016 and then an M.Tech in the same discipline from Tripura University in 2018, graduating as a Gold Medalist. She completed her Ph.D. in October 2023 from NIT Agartala, with a thesis focused on AI approaches for precision agriculture. Professionally, she has served as an Assistant Professor at Techno College of Engineering Agartala (TCEA) since 2018, was promoted to Associate Professor in 2023, and began serving as an Assistant Professor at IIIT Agartala in August 2024. Her responsibilities span admissions, placements, social media management, academic sections, and research guidance, showcasing a well-rounded experience in academic leadership and development.

✅ SUITABILITY SUMMARY

Dr. Majumdar’s background positions her as a valuable contributor in domains intersecting education, research, and real-world technological application. With a specialization in AI, IoT, and agriculture, she has worked on projects involving automated irrigation systems, disease detection in crops, and data-driven agriculture analytics. She is equally experienced in teaching and mentoring, has led departmental initiatives, and played an active role in academic coordination and student outreach. Her presence in both academia and applied research environments, combined with a strong publication and patent record, marks her as exceptionally suited for roles in R&D, higher education leadership, and interdisciplinary innovation projects.

🌍 PROFESSIONAL DEVELOPMENT

Dr. Parijata Majumdar is deeply committed to professional growth through lifelong learning. She has participated in numerous FDPs, workshops, and MOOCs offered by leading institutions like NPTEL (IIT Madras), AICTE-ATAL Academy, GIAN, TEQIP, and several national engineering colleges. Some of the key topics she has engaged with include Computational Intelligence, IoT Ecosystem Security, Contrast Enhancement, Python Programming, and Research Pedagogy in AI/ML. Her participation also extends to workshops planned in VIT-AP, Budge Budge Institute of Technology, and IIIT Dharwad. This extensive professional development activity emphasizes her proactive approach to staying updated with evolving technological trends and teaching methodologies.

🔬RESEARCH FOCUS

Dr. Majumdar’s core research revolves around Machine Learning, Optimization Techniques, Internet of Things (IoT), Green IoT (GIoT), Precision Agriculture, Image Processing, Pattern Recognition, and Blockchain Technology. Her doctoral work explored AI-based frameworks for smart agricultural systems. Her notable collaborations include projects with Prof. Diego Alberto Oliva Navarro (University of Guadalajara, Mexico) and Prof. Debashis De (MAKAUT, West Bengal). She has filed and published two Indian patents—one on automated crop irrigation systems and another on a CNN-based model for early crop disease detection. She has served as a reviewer and editorial board member for numerous reputed journals including Elsevier, IEEE, Hindawi, and Springer, actively contributing to the global research community.

🏆 HONORS & AWARDS

Dr. Parijata Majumdar has received several prestigious recognitions that highlight her academic and professional excellence. She was awarded the EARG Awards 2024 for Excellence in Research and Development. A Gold Medalist in her postgraduate studies, she is also a published patent holder in the domain of AI-powered agriculture. Her thought leadership is widely acknowledged through her role as a Distinguished Speaker at global conferences in Amsterdam, Barcelona, and Mauritius. Additionally, she has served as a session chair, keynote speaker, expert reviewer, and editorial board member across a range of national and international platforms. These accolades affirm her impact as a trailblazer in technology-driven education and research.

 📚 TOP NOTES PUBLICATIONS

1. IoT for Promoting Agriculture 4.0: A Review from the Perspective of Weather Monitoring, Yield Prediction, Security of WSN Protocols, and Hardware Cost Analysis

  • Authors: P. Majumdar, S. Mitra, D. Bhattacharya
  • Journal: Journal of Biosystems Engineering
  • Volume/Issue: 46(4)
  • Pages: 440-461
  • Year: 2021
  • Citations: 30

2. Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges, and Research Trends in the Era of 5G, LPWANs, and Internet of UAV Things

  • Authors: P. Majumdar, D. Bhattacharya, S. Mitra, B. Bhushan
  • Journal: Wireless Personal Communications
  • Volume/Issue: 131(3)
  • Pages: 1767-1816
  • Year: 2023
  • Citations: 26

3. Demand Prediction of Rice Growth Stage-Wise Irrigation Water Requirement and Fertilizer Using Bayesian Genetic Algorithm and Random Forest for Yield Enhancement

  • Authors: P. Majumdar, D. Bhattacharya, S. Mitra, R. Solgi, D. Oliva, B. Bhusan
  • Journal: Paddy and Water Environment
  • Volume/Issue: 21(2)
  • Pages: 275-293
  • Year: 2023
  • Citations: 15

4. Honey Badger Algorithm Using Lens Opposition-Based Learning and Local Search Algorithm

  • Authors: P. Majumdar, S. Mitra, D. Bhattacharya
  • Journal: Evolving Systems
  • Volume/Issue: 15(2)
  • Pages: 335-360
  • Year: 2024
  • Citations: 12

5. IoT and Machine Learning-Based Approaches for Real-Time Environment Parameters Monitoring in Agriculture: An Empirical Review

  • Authors: P. Majumdar, S. Mitra
  • Book Chapter: Agricultural Informatics: Automation Using the IoT and Machine Learning
  • Pages: 89-115
  • Year: 2021
  • Citations: 11

Pavel Chochia | Data Analysis | Best Researcher Award

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Prof Dr. Pavel Chochia | Data Analysis | Best Researcher Award

Institute for Information Transmission Problems, Russian Academy of Sciences (Kharkevich Institute) | Russia

PUBLICATION PROFILE

Scopus

🔹 INTRODUCTION

Prof. Dr. Pavel A. Chochia is a highly respected expert in the field of technical sciences, renowned for his groundbreaking work in digital image and video processing. With an academic and professional career spanning more than five decades, he has significantly contributed to scientific research and technological development in Russia and internationally. Currently serving as a Leading Researcher at the Institute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, he continues to lead innovative projects and mentor future scientists.

📚 EARLY ACADEMIC PURSUITS

Dr. Chochia began his academic journey with a strong focus on technical sciences, earning his Ph.D. in 1983. His deep interest and accomplishments in this field led to the award of the Doctor of Science (Dr. habil.) degree in 2017. These academic achievements marked the foundation for his continued contributions to advanced signal processing and image analysis research.

🧑‍🔬 PROFESSIONAL ENDEAVORS

Since 1973, Prof. Chochia has been a vital part of the Kharkevich Institute, contributing to various research and development initiatives. His role as a leading researcher involves not only scientific investigations but also the design and development of image and video processing software. Throughout his career, he has worked with international organizations and industries in fields ranging from aerospace to medical diagnostics, always at the forefront of innovation.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Chochia’s research spans a wide array of topics, including statistical modeling of images, digital signal processing, and real-time video enhancement. His work includes methods for segmenting grayscale, color, and texture images, analyzing space and medical images, and detecting defects in semiconductor wafers. He has also developed tools for automatic video analysis and advanced filtering algorithms based on linear and non-linear methods. A notable area of his expertise is the use of two-dimensional variations and two-scale models for analyzing complex image structures.

🌍 IMPACT AND INFLUENCE

The impact of Prof. Chochia’s work is far-reaching. His methods have been applied in processing images from space missions such as Mars and Venus, and his software systems have supported medical research and industrial inspection. His leadership in projects funded by global organizations like NASA, Samsung, and Carl Zeiss demonstrates the international recognition and applicability of his work. The IRBIS image processing system, which he helped design, was honored at CeBIT-92 and remains in use in modern forms today.

📖 ACADEMIC CITATIONS AND PUBLICATIONS

Throughout his career, Prof. Chochia has presented more than 40 scientific reports at both national and international conferences. His publications cover advanced theories and applications in image processing and have contributed to shaping the academic discourse in the field. While an exact citation list would require access to scholarly databases, his contributions are widely recognized and cited in technical literature.

🏅 HONORS & AWARDS

Prof. Chochia’s outstanding contributions have earned him numerous awards, including the Certificate of Honor from the Russian Academy of Sciences in 2021. He was also named a National Nominee for Software Innovation in Europe during CeBIT 1992, receiving the “Golden Softies” recognition. These awards reflect his ongoing commitment to excellence and innovation in technical sciences.

🏛️ LEGACY AND FUTURE CONTRIBUTIONS

As a mentor, innovator, and researcher, Prof. Chochia’s legacy is firmly rooted in scientific progress. He has influenced multiple generations of scientists and engineers through his research and collaborative spirit. His ongoing projects continue to explore advanced techniques in video decomposition, medical image processing, and multi-scale analysis. His dedication ensures that his legacy will guide future advancements in signal and image technologies.

✅ FINAL NOTE

Prof. Dr. Pavel A. Chochia stands as a symbol of lifelong dedication to science and technology. His influential work, recognized both nationally and internationally, continues to shape the world of image processing and beyond. With a career marked by innovation, leadership, and scholarly excellence, his contributions will remain a cornerstone of technical science for years to come.

 📚 TOP NOTES PUBLICATIONS

Title: On the Affinity of Image Smoothing and Segmentation Problems

Author: P.A. Chochia (Pavel A. Chochia)
Journal: Journal of Communications Technology and Electronics
Year: 2024

Title: Image Analysis and Processing Theory, Methods, and Algorithms. Review of Research at the Iconics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute)

Author: P.A. Chochia (Pavel A. Chochia)
Journal: Pattern Recognition and Image Analysis
Year: 2023

Title: Image Restoration and Enhancement Using Blind Estimation of Amplitude Distortion

Author: P.A. Chochia (Pavel A. Chochia)
Journal: Journal of Communications Technology and Electronics
Year: 2023

Title: Detection of Agrophytocenosis Components in the Image

Author: P.A. Chochia (Pavel A. Chochia)
Journal: Journal of Communications Technology and Electronics
Year: 2022

Zied Guitouni | Cryptographie | Best Researcher Award

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Dr. Zied Guitouni | Cryptographie | Best Researcher Award

ISSAt Mahdia | Tunisia

PUBLICATION PROFILE

Scopus

🎓 EARLY ACADEMIC PURSUITS

DR. ZIED GUITOU began his academic journey with a Baccalauréat in Mathematics (2000), paving the way for a focused career in electronics and microelectronics. He earned his Maîtrise in Electronics and Instrumentation (2004) from ESSTT, followed by a Master’s degree in Microelectronic Devices and Systems (2006) from FSM. His academic excellence culminated in a Ph.D. in Electronics (2012) from FST, with a thesis focused on the study and implementation of random and pseudo-random key generators for cryptographic systems. His education, deeply rooted in both theory and practical application, set a strong foundation for his technical and pedagogical contributions.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Guitou holds the title of Maître Assistant in Electronics at ISSAT Mahdia, Tunisia, where he has been actively teaching since 2019. His professional experience also includes a notable tenure as a professional and technical trainer at the Faculty of Technology in Riyadh, Saudi Arabia (2013–2019). Over the years, he has taught a wide array of subjects across undergraduate and postgraduate levels, ranging from analog and digital electronics to cryptography and VHDL systems, demonstrating a versatile teaching profile and strong engagement in academic development.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Guitou’s primary research interests revolve around cryptographic systems, random key generation, VHDL implementations, and emerging areas such as artificial intelligence, blockchain, and machine learning. His doctoral and master’s research tackled core challenges in cryptographic security, while his more recent work delves into neural cryptosystems, quantum communication algorithms (e.g., BB84), and blockchain-based hashing. His supervision of numerous master’s theses and engineering projects shows a deep commitment to mentoring innovation in applied electronics and AI systems.

🌍 IMPACT AND INFLUENCE

Beyond teaching, Dr. Guitou has left a mark through his organizational and administrative roles. He is the Director of the Department of ICT at ISSAT Mahdia, a member of the scientific council, and actively involved in quality assurance and entrepreneurial programs. He has helped organize international conferences including CCSITA 2024, CCITT 2025, and AIEB 2021, all of which serve to bring international visibility to Tunisia’s academic and research communities. His participation in pedagogical training programs—such as AI for higher education and machine learning workshops—highlights his commitment to continuous learning and interdisciplinary collaboration.

📚 ACADEMIC CITES

Dr. Guitou has supervised both research and professional master’s theses on cutting-edge topics including wireless sensor network security, autonomous navigation systems, neural cryptosystems, and AI-powered medical applications. These projects, often hosted in collaboration with notable Tunisian institutions and laboratories, contribute to Tunisia’s growing body of applied research in AI and electronics. His guidance has resulted in multiple successful thesis defenses with mentions of ‘Très Bien’ and ‘Bien’, affirming the academic impact of his mentorship.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Guitou’s legacy lies in his unwavering dedication to educational excellence, research supervision, and institutional development. His ongoing work in artificial intelligence integration, quantum security systems, and intelligent electronics signals a bright future, both for his students and the broader academic ecosystem. As he continues to take on leadership roles and mentor future innovators, his contributions will shape the evolution of engineering education and smart technologies in North Africa.

📝 FINAL NOTE

DR. ZIED GUITOU is a distinguished academician, researcher, and mentor whose contributions span cryptographic innovation, AI in electronics, and academic leadership. With his multidimensional expertise and a clear vision for technological advancement, he continues to be a pillar in Tunisia’s academic and technological spheres, driving forward innovation, education, and collaborative research excellence.

 📚 TOP NOTES PUBLICATIONS

Article: An efficient hardware implementation of SHA-3 using 3D cellular automata for secure wireless sensor networks

Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: International Journal of Information Security
Year: 2025

Article: Advanced error correction method for quantum key distribution in IoT systems

Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: Physica Scripta
Year: 2024

Article: An efficient hardware implementation of SHA-3 using 3D cellular automata for secure blockchain-based IoT systems

Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: Engineering Research Express Journal
Year: 2024

Article: A QoS Analysis of SHA Algorithms for IoT Systems

Authors: Zied Guitouni, Eya Ben Brahim, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Emerging Trends in Engineering Research
Year: 2024

Article: Security Analysis of the BB84 Protocol in IoT Networks

Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Advanced Trends in Computer Science and Engineering
Year: 2024

Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

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Dr. Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

Google Scholar

📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

  • “Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.

  • “QUALITY POINTPAL” (2024), redefining social networking with AI.

  • A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).

  • He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
    Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

 📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: Computer Methods and Programs in Biomedicine

    • Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

    • Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi

    • Journal: Alexandria Engineering Journal

    • Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: PLOS ONE

    • Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

    • Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.

    • Journal: Operational Research in Engineering Sciences: Theory and Applications

    • Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

    • Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh

    • Journal: International Symposium on Ambient Intelligence

    • Year: 2023

Junaid Akram | Environmental Data Analysis | Young Scientist Award

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Dr. Junaid Akram | Environmental Data Analysis | Young Scientist Award

The University of Sydney | Australia

PUBLICATION PROFILE

Scopus

Orcid

🎓 EARLY ACADEMIC PURSUITS

Dr. Junaid Akram’s academic path reflects a strong commitment to excellence and innovation from the very beginning. He earned his BS in Computer Science from COMSATS University Islamabad, followed by an outstanding MS in Computational Science and Engineering at NUST, securing a remarkable CGPA of 3.95/4.00. His passion for advanced computing and real-world problem solving led him to pursue a Ph.D. in Computer Science at the prestigious University of Sydney, ranked 18 globally by QS. His doctoral research focused on enhancing trust and security in crowdsourced drone services, laying the groundwork for future advancements in decentralized technologies.

💼 PROFESSIONAL ENDEAVORS

Professionally, Dr. Akram has built a versatile and impactful career as an academic and data science expert. He has held lecturer roles at top institutions including the University of Sydney, UTS, Australian Catholic University, Victorian Institute of Technology, and Kaplan Business School, where he taught cybersecurity, AI, data science, and digital forensics. Simultaneously, he worked as a Data Manager at Westmead Hospital under NSW Health, overseeing clinical data systems and contributing to high-impact healthcare research. His unique blend of academic teaching and applied data expertise showcases his ability to thrive at the intersection of theory and practice.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Akram’s research contributions span several critical domains. His Ph.D. thesis introduced cutting-edge solutions like D2XChain for decentralized public key infrastructure, DDRM for review reliability, and UAVGuard for adversarial defense in drones. Beyond drone services, he supervised impactful projects such as VQA systems for dermatology and medical imaging, as well as early detection frameworks for diabetes using ensemble learning. His work also extends to AI-driven job placement optimization using models like BERT and DeBERTa. His projects reflect a multidisciplinary approach aimed at solving real-world problems through intelligent, scalable systems.

📊 IMPACT AND INFLUENCE

Throughout his career, Dr. Akram has demonstrated a commitment to creating meaningful impact through teaching, research, and service. At Westmead Hospital, his data systems improved the quality of clinical care and enabled robust medical research. In academia, he mentored numerous postgraduate projects and contributed to curriculum development across multiple universities. His ability to connect students with real-world industry needs and guide them in publication-worthy research positions him as a mentor who bridges academia and industry with finesse.

📚 ACADEMIC CITES

Dr. Akram’s research has been recognized through peer-reviewed publications in the international Sensors journal. Notable articles include “Using Adaptive Sensors for Optimised Target Coverage in Wireless Sensor Networks” and “Automatic Target Detection from Satellite Imagery Using Machine Learning.” These contributions highlight his expertise in remote sensing, machine learning, and sensor networks, enhancing his credibility and scholarly recognition in technical domains.

🌍 LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Akram moves forward, he is poised to lead transformative research in decentralized systems, smart healthcare, and AI security. His goal is to continue shaping future-ready curricula, mentoring global talent, and pioneering interdisciplinary innovations. His dedication to knowledge sharing and community advancement will leave a lasting legacy not just as a researcher or lecturer, but as a visionary building bridges between emerging technologies and real-world solutions.

 📚 TOP NOTES PUBLICATIONS

Title: Secure and Interoperable IoMT-Based Smart Homes

    • Authors: Awais Akram, Junaid Akram, Abdulatif Alabdultif, Ali Anaissi, Rutvij H. Jhaveri

    • Journal: IEEE Consumer Electronics Magazine

    • Year: 2025

    • DOI: 10.1109/MCE.2025.3534442

Title: Dynamic GNN-based Multimodal Anomaly Detection for Spatial Crowdsourcing Drone Services

    • Authors: Junaid Akram, Walayat Hussain, Rutvij H. Jhaveri, Rajkumar Singh Rathore, Ali Anaissi

    • Journal: Digital Communications and Networks

    • Year: 2025 (April)

    • DOI: 10.1016/j.dcan.2025.03.012

Title: Adversarial Label-Flipping Attack and Defense for Anomaly Detection in Spatial Crowdsourcing UAV Services

    • Authors: Junaid Akram, Ali Anaissi, Awais Akram, Rajkumar Singh Rathore, Rutvij H. Jhaveri

    • Journal: IEEE Transactions on Consumer Electronics

    • Year: 2024

    • DOI: 10.1109/TCE.2024.3448541

Title: AI-Generated Content-as-a-Service in IoMT-Based Smart Homes: Personalizing Patient Care With Human Digital Twins

    • Authors: Junaid Akram, Misha Aamir, Roshani Raut, Ali Anaissi, Rutvij H. Jhaveri, Awais Akram

    • Journal: IEEE Transactions on Consumer Electronics

    • Year: 2024

    • DOI: 10.1109/TCE.2024.3409173

Title: Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services

    • Authors: Junaid Akram, Ali Anaissi, Rajkumar Singh Rathore, Rutvij H. Jhaveri, Awais Akram

    • Journal: IEEE Transactions on Green Communications and Networking

    • Year: 2024

    • DOI: 10.1109/TGCN.2024.3403901